Predicting soil micro-variables and the distribution of an endogeic earthworm species through a model based on large-scale variables

Marchán, Daniel F.; Refoyo, Pablo; Novo, Marta; Fernández, Rosa; Trigo, Dolores; Cosín, Darío J. Díaz

doi:10.1016/j.soilbio.2014.10.023

Cited by 17 publications

(16 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Precipitation showed a strong While it can be argued that small scale soil variables should be considered to study the ecological preferences and differences between these soil-dwelling taxa, to our knowledge this is not a concern. On one hand [7] showed strong correlation between large-scale environmental variables and the most relevant soil variables affecting H. elisae distribution: this supports our studied variables covering to some extent the variability of lower-scale variables. On the other hand, preference for local soil conditions should be expected to be less conserved across clades than large-scale environmental variables, thus being less suitable for macroecological analysis at abovespecies level.…”

Section: Ecological Characterization and Niche Differentiationsupporting

confidence: 84%

“…These variables were the same that successfully predicted the distribution of H. elisae (and relevant soil characteristics) in [7]. Precipitation of the coldest quarter was replaced by Mean Temperature of the Coldest Quarter to represent the inactivity period in the coldest months.…”

Section: Environmental Variablesmentioning

confidence: 99%

“…While the habitat suitability predictions mostly adjusted to our knowledge of hormogastrid earthworm distribution, some highly suitable areas were highlighted where they have never been found after intensive sampling (but being deep burrowers with a patchy distribution leaves the possibility of false negatives [7]). According to [36], absence from some part of the predicted niche suggest the action of unidentified factors excluding the species from these locations, such as competition or dispersal limitation.…”

Section: Predicted Suitable Rangesmentioning

confidence: 99%

“…It has been implemented in several groups (ground beetles [4], termites [5], millipedes [6]) including earthworms: [7] used MaxEnt to study the effect of large-scale ecological variables in the distribution of Hormogaster elisae, corroborating its high predictive power and the ability to reflect accurately its soil preferences.…”

Section: Introductionmentioning

confidence: 97%

“…The Central Iberia clade corresponds to the H. elisae morphospecies, which comprises at least five cryptic lineages [24]. [7] included several new populations, which considerably widened its known range; their genetic variability is currently being …”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Macroecological inferences on soil fauna through comparative niche modeling: The case of Hormogastridae (Annelida, Oligochaeta)

Marchán

Refoyo

Fernández

et al. 2016

European Journal of Soil Biology

Self Cite

View full text Add to dashboard Cite

Section: Ecological Characterization and Niche Differentiationsupporting

confidence: 84%

Section: Environmental Variablesmentioning

confidence: 99%

Section: Predicted Suitable Rangesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Macroecological inferences on soil fauna through comparative niche modeling: The case of Hormogastridae (Annelida, Oligochaeta)

Marchán

Refoyo

Fernández

et al. 2016

European Journal of Soil Biology

Self Cite

View full text Add to dashboard Cite

The population and landscape genetics of the European badger (Meles meles) in Ireland

Guerrero

Byrne

Lavery

et al. 2018

Ecology and Evolution

View full text Add to dashboard Cite

The population genetic structure of free‐ranging species is expected to reflect landscape‐level effects. Quantifying the role of these factors and their relative contribution often has important implications for wildlife management. The population genetics of the European badger (Meles meles) have received considerable attention, not least because the species acts as a potential wildlife reservoir for bovine tuberculosis (bTB) in Britain and Ireland. Herein, we detail the most comprehensive population and landscape genetic study of the badger in Ireland to date—comprised of 454 Irish badger samples, genotyped at 14 microsatellite loci. Bayesian and multivariate clustering methods demonstrated continuous clinal variation across the island, with potentially distinct differentiation observed in Northern Ireland. Landscape genetic analyses identified geographic distance and elevation as the primary drivers of genetic differentiation, in keeping with badgers exhibiting high levels of philopatry. Other factors hypothesized to affect gene flow, including earth worm habitat suitability, land cover type, and the River Shannon, had little to no detectable effect. By providing a more accurate picture of badger population structure and the factors effecting it, these data can guide current efforts to manage the species in Ireland and to better understand its role in bTB.

show abstract

Assessment of multiple model algorithms to predict earthworm geographic distribution range and biodiversity in Germany: implications for soil-monitoring and species-conservation needs

et al. 2023

View full text Add to dashboard Cite

Identifying the potential distribution of soil-biodiversity with its density and richness relationships, including constituent species, is a pre-requisite for the assessment, conservation and protection of soil biodiversity and the soil functions it drives. Although the role of earthworms in improving soil quality has long been established, to quantitatively and spatially assess how this soil-animal group’s distribution changes along environmental gradients and geographic space and the identification of the drivers of such change has not been fully investigated. This comprehensive study aimed at modelling and mapping earthworm spatial distribution and diversity patterns to determine their conservation needs and provide baseline reference data for Germany. The study compared multiple modelling algorithms to map earthworm community parameters and 12 species-specific distribution probabilities, calculate their geographic range sizes and determine responses to environmental predictor variables. Three general patterns of spatial distribution ranges were identified by the model predictions (large-range, mid-range, and restricted-range species) with the corresponding environmental contributions to the predictions. Modelled species responses to environmental predictors confirm observed environmental drivers of earthworm distribution in Germany. The range classes based both on distributional level and geographic space provide the necessary information for identifying conservation and decision-making priorities, especially for restricted-distribution species as well as those with clearly defined habitat preferences.

show abstract

Predicting soil micro-variables and the distribution of an endogeic earthworm species through a model based on large-scale variables

Cited by 17 publications

References 20 publications

Macroecological inferences on soil fauna through comparative niche modeling: The case of Hormogastridae (Annelida, Oligochaeta)

Macroecological inferences on soil fauna through comparative niche modeling: The case of Hormogastridae (Annelida, Oligochaeta)

The population and landscape genetics of the European badger (Meles meles) in Ireland

Assessment of multiple model algorithms to predict earthworm geographic distribution range and biodiversity in Germany: implications for soil-monitoring and species-conservation needs

Contact Info

Product

Resources

About